Quantization of Laguerre-Based Stereo Linear Predictors

A. Biswas, A.C. Brinker, den

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)


Recently a quantization strategy for stereo linear prediction systems was proposed and tested using random data as input. This research is extended in the current paper by incorporating Laguerre filters in the stereo linear prediction scheme. First, it is shown that the associated normalized reflection matrices can be obtained efficiently. Second, the system was tested using stereo audio data in order to gain an insight into the required bit-rates for practical applications.
Original languageEnglish
Title of host publicationProceedings of the 122nd AES Convention, 5-8 May 2007, Vienna, Austria
Publication statusPublished - 2007
Event122nd Convention of the Audio Engineering Society (AES 2007 Convention) - Vienna, Austria
Duration: 5 May 20078 May 2007


Conference122nd Convention of the Audio Engineering Society (AES 2007 Convention)


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